The book comes with a and other resources, and the programs have been tested on both UNIX systems and personal computers using the Turbo-C++ compiler.
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The book "Expert Data Structure Using C" by RB Patel covers a wide range of topics, including: expert data structure using c by rb patel pdf exclusive
Chapter 1: Basics of Data Structures & Programming Language 'C'
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| Chapter | Topic | Description | | :--- | :--- | :--- | | | Basics of Data Structures & Programming Language 'C' | Builds a strong foundation in C, covering type conversions, pointers, dynamic memory management, functions, and algorithm fundamentals. | | 2 | Recursion | Explores the concept of functions calling themselves, a powerful technique for solving complex problems. | | 3 | String Manipulation & Pattern Matching | Covers the processing of text data, including searching for specific patterns within strings. | | 4 | Arrays | Discusses the most fundamental linear data structure for storing collections of elements. | | 5 | Linked List | Introduces dynamic data structures where elements are connected via pointers. | | 6 | Stacks & Queues | Covers abstract data types that manage data in LIFO (Last-In-First-Out) and FIFO (First-In-First-Out) order. | | 7 | Trees | Explores hierarchical data structures, including binary trees and their applications. | | 8 | Graphs | Delves into complex non-linear structures for modeling relationships between entities. | | 9 | Sorting & Searching | Provides a deep dive into essential algorithms for organizing and finding data. | | 10 | File Structures | Examines how data is organized and accessed on persistent storage. | | 11 | Variants of B-Tree | Explores advanced tree structures used in database systems and file systems for efficient data storage and retrieval. |
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[Primitive Data Types] ➔ [Linear Structures] ➔ [Non-Linear Structures] ➔ [Algorithms] (int, char, pointers) (Lists, Stacks, Queues) (Trees, Graphs) (Sorting, Searching) Linear Data Structures
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Undergraduate and postgraduate engineering students, as well as C professionals. Key Goals: Developing consistent programming methodology. Mastering data structure access techniques. Introducing algorithmic analysis. Core Content & Features